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1st International Conference on Advances in Electrical, Electronics and Computational Intelligence, ICAEECI 2023

作者： Sheeba, T.M. Raj, S. Albert Antony Anand, M. SRM Institute of Science and Technology Faculty of Science and Humanities Department of Computer Applications Chennai Kattankulathur India SRM Institute of Science and Technology Faculty of Engineering and Technology Department of Networking and Communications Chennai Kattankulathur India

ISBN: (纸本)9798350342796

For the assessment of Pigment Epithelial Detachment(PED), optical coherence tomography (OCT) must automatically and precisely segment the fluid related subretinal fluid. An algorithm for guided fluid segmentation in two stages is suggested. To get the primary curve of the fluid part for the Graph cut approach, the candidate fluid region is automatic determined in the first step. The Gaussian pre-fitting approach is suggested to segment sub-retinal-fluid in the second stage. The suggested algorithm is evaluated using the testing data set, which consists of 55 longitudinal OCT scans from 50 eyes of 50 individuals. DC (Dice Coefficient), Precision, and Recall of the proposed system are calculated. The suggested algorithm can achieve excellent segmentation accuracy without the need to segment the retinal layer. This approach has the potential to enhance clinical PED therapy and may be able to reliably segregate subretinal fluid from OCT images. © 2023 IEEE.

关键词： Graph cut method Local Gaussian Pre-fitting OCT PED Subretinal Fluid Segmentation

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Enhanced Stability of Microgrids based on Advanced Virtual Rotor Control and Vanadium Redox Flow Batteries 50

Enhanced Stability of Microgrids based on Advanced Virtual R...

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50th Annual Conference of the IEEE Industrial Electronics Society, IECON 2024

作者： Abbou, Hossam E.A. Benzoubir, Mohammed E. Hachemi, Ahmed Delassi, Abdelmoumene Arif, Salem Trabelsi, Mohamed Vahedi, Hani Bauer, Pavol Electrical Engineering Departement LACoSERE laboratory University of Amar Telidji Laghouat03000 Algeria Electrical Engineering Lab University of Kasdi Merbah Ouargla Algeria Electronics and Communications Engineering Department Kuwait College of Science and Technology Kuwait City27235 Kuwait Department of Electrical Engineering Mathematics and Computer Science Delft University of Technology Delft Netherlands

ISBN: (纸本)9781665464543

This paper presents an innovative control strategy to enhance the stability of interconnected Microgrids (MGs) with low inertia and high penetration levels of Renewable Energies (REs). The proposed control strategy encompasses a new virtual droop control mechanism that emulates the primary control of synchronous generators for enhanced system stability. Additionally, a weighted Proportional-Integral (PI) controller is used to mitigate the adverse effects of measurement delays caused by Phase-Locked Loop (PLL) dynamics. Furthermore, a feedback integral loop is introduced to improve the efficiency and lifespan of Vanadium Redox Flow Batteries (VRFBs) enabling swift and precise power delivery while reducing steady-state errors. Finally, a new fractional-order virtual inertia control (VIC) is introduced to leverage the fractional derivatives and enhance the system's frequency response. The presented simulation results demonstrate the effectiveness of the proposed control approach in improving the frequency response and power exchange dynamics across interconnected MGs under various operating scenarios. © 2024 IEEE.

关键词： Microgrids

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Segmentation of Retinal Pigment Epithelium Layer in Retinal OCT Images 5

Segmentation of Retinal Pigment Epithelium Layer in Retinal ...

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5th IEEE International Conference on Advances in Electronics, computers and communications, ICAECC 2023

作者： Sheeba, T.M. Antony Raj, S. Albert Anand, M. SRM Institute of Science and Technology Kattankulathur Faculty of Science and Humanities Department of Computer Applications Chennai India SRM Institute of Science and Technology Kattankulathur Faculty of Engineering and Technology Department of Networking and Communications Chennai India

ISBN: (纸本)9798350305449

Optical Coherence Tomography (OCT) is a relatively recent procedure for studying eyes that has proven to be quite beneficial. We propose automatic detection of the RPE (Retinal Pigment Epithelium) layer in Retinal OCT images in this work. The bottom layer of the retina in retinal OCT images is known as the RPE layer, which is extracted in this study and may be studied to diagnose retinal disorders. After effectively increasing the quality of the OCT image using the Wiener filter, we extract the Retinal Pigment Epithelium layer using the Threshold approach. The proposed approach is tested using 40 OCT images of the retina. The results demonstrate 95.50 percent accuracy in RPE layer segmentation. © 2023 IEEE.

关键词： Optical tomography

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Rethinking Guidance Information to Utilize Unlabeled Samples: A Label Encoding Perspective 41

Rethinking Guidance Information to Utilize Unlabeled Samples...

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41st International Conference on Machine Learning, ICML 2024

作者： Zhang, Yulong Yao, Yuan Chen, Shuhao Jin, Pengrong Zhang, Yu Jin, Jian Lu, Jiangang Department of Computer Science and Engineering Southern University of Science and Technology Shenzhen China College of Control Science and Engineering Zhejiang University Hangzhou China Beijing Teleinfo Technology Company Ltd. China Academy of Information and Communications Technology Beijing China Research Institute of Industrial Internet of Things China Academy of Information and Communications Technology Beijing China

Empirical Risk Minimization (ERM) is fragile in scenarios with insufficient labeled samples.A vanilla extension of ERM to unlabeled samples is Entropy Minimization (EntMin), which employs the soft-labels of unlabeled samples to guide their ***, EntMin emphasizes prediction discriminability while neglecting prediction *** alleviate this issue, in this paper, we rethink the guidance information to utilize unlabeled *** analyzing the learning objective of ERM, we find that the guidance information for labeled samples in a specific category is the corresponding label *** by this finding, we propose a Label-Encoding Risk Minimization (LERM).It first estimates the label encodings through prediction means of unlabeled samples and then aligns them with their corresponding ground-truth label *** a result, the LERM ensures both prediction discriminability and diversity, and it can be integrated into existing methods as a ***, we analyze the relationships between LERM and ERM as well as ***, we verify the superiority of the LERM under several label insufficient *** codes are available at https://***/zhangyl660/LERM. Copyright 2024 by the author(s)

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Power Allocation for Frequency-Modulated OFDM Wireless Systems 100

Power Allocation for Frequency-Modulated OFDM Wireless Syste...

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100th IEEE Vehicular Technology Conference, VTC 2024-Fall

作者： Son, Joohyun Choi, Sooyong Roberts, Ian P. Hong, Daesik Yonsei University Information and Telecommunication Lab School of Electrical and Electronic Engineering Seoul Korea Republic of Yonsei University Advanced Communications Lab School of Electrical and Electronic Engineering Seoul Korea Republic of Ucla Wireless Lab Department of Electrical and Computer Engineering Los AngelesCA United States

ISBN: (纸本)9798331517786

Frequency-modulated orthogonal frequency division multiplexing (FM-OFDM) is a recently proposed waveform which overcomes the notoriously high peak-to-average power ratio (PAPR) of traditional OFDM wireless systems. Employing this new FM-OFDM waveform, however, will demand a redesign of certain signal processing mechanisms, since those tailored to traditional OFDM waveforms may no longer be optimal or even applicable. This paper proposes two novel power allocation schemes for FM-OFDM systems, both of which take into account this new waveform's unique interactions with noise and with the propagation channel. We analytically derive and optimize closed-form expressions for both of the proposed power allocation schemes, the first of which improves average bit error rate (BER) while the second maximizes spectral efficiency. Our simulation results illustrate the improvements in BER and in data rate when employing our power allocation schemes over conventional benchmarks but also underscore what regimes they should be employed to maximize these gains. © 2024 IEEE.

关键词： Orthogonal frequency division multiplexing

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Washington Accord - Congruent Balanced Scorecard for Electronics engineering Educational Management Using Structural Equation Modeling 14

Washington Accord - Congruent Balanced Scorecard for Electro...

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14th IEEE International Conference on Humanoid, Nanotechnology, Information Technology, Communication and Control, Environment, and Management, HNICEM 2022

作者： Recto, King Harold A. Timajo, Wilfredo L. Ateneo de Manila University Department of Electronics Computer and Communications Engineering Quezon City Philippines Rizal Technological University Department of Electronics Engineering Mandaluyong City Philippines

ISBN: (纸本)9781665464932

Conjoining the management tool called balanced scorecard with the educational concept of student outcomes (SOs), this research developed a balanced scorecard for Electronics engineering (ECE) that can help aid in managing a sustainable ECE program based on sound educational management principles that are congruent to Washington Accord quality assurance practices. The Delphi technique and the unstructured interview method with a panel of experts were employed in determining and fine-tuning the metrics for each of the major components of the balanced scorecard until a consensus was reached. The survey method, on the other hand, was used in determining the attainment of the Washington Accord SOs of selected ECE higher educational institutions (HEIs) in Metro Manila. At 0.05 level of significance, the relationships of the various perspectives in the balanced scorecard with the Washington Accord SOs were determined using structural equation modelling. The study discovered that a significant difference exists in the level of practice of the selected ECE HEIs in the perspectives of financial, student, and learning and growth, but no significant difference in faculty and in internal school processes. Moreover, the study also revealed that the strongest student outcome was the "Knowledge Based for engineering"which while the weakest was "Communication", having only an evaluation of "Accomplished"instead of "Exemplary". Except in the SO of Design, no significant difference was also found in the evaluation of the HEIs for the attainment of the Washington Accord SOs. In addition, it was also found out that significant relationships exist between perspectives in the balanced scorecard and the Washington Accord SO Evaluation. The paper presented recommendations that have implication in the management of engineering HEIs which includes considering the structural equation model in establishing the congruence between the electronics engineering balanced scorecard and the attainment

关键词： Quality assurance

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Two-Stage Fine-Tuning For Low-resource Englishbased Creole with Pre-Trained LLMs

Two-Stage Fine-Tuning For Low-resource Englishbased Creole w...

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computer Science and Data engineering (CSDE), IEEE Asia-Pacific Conference on

作者： Shu Hui Amanda Tan Eint Sandi Aung Hayato YAMANA Department of Computer Science and Communications Engineering Waseda University Tokyo Japan Department of Computer Science and Communications Engineering Waseda University Tokyo Japan Faculty of Science and Engineering Waseda University Tokyo Japan

Sentiment analysis adopts natural language processing (NLP) techniques to determine the emotional tone of the text. Sentiment analysis research has predominantly been conducted on commonly spoken languages, such as English and Mandarin Chinese. However, less widely spoken languages, such as Englishbased Creoles, have received limited attention due to the need for large-scale labeled datasets. English-based Creoles are derived from English, resulting in many similarities with English. However, English-based Creoles differ from English in some aspects, making the Creole unintelligible to other English speakers. In sentiment analysis research conducted on Singapore English-based Creole (Singlish), most existing research does not leverage the capabilities of large-language models, such as pretrained BERT. To our knowledge, only Gotera et al.'s work relates to a large-language model; however, their contribution is creating a new pre-trained model for Singlish. However, creating a new pre-trained model is computationally expensive, and pre-training a less widely spoken language will result in ineffective because of the small dataset. Hence, we propose a new two-stage fine-tuning framework for pre-trained models, targeting a low-resource English-based Creole, Singlish. Our proposed framework initially clusters the dataset into two based on each data point's percentage of English words. Then, two-stage fine-tuning is performed by transferring the pre-trained BERT model onto the clustered dataset with the higher English percentage in the first stage. The model is further transferred onto the clustered dataset with the lower English percentage in the second stage. Our proposed framework outperforms the traditional fine-tuning framework, achieving a weighted F1 score of 0.8344 for sentiment analysis.

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Detection of Gender and Age Category from Speech

Detection of Gender and Age Category from Speech

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2023 World Symposium on Digital Intelligence for Systems and Machines, DISA 2023

作者： Haluška, Renát Popovič, Michal Pleva, Matus Frohman, Matthew Department of Electronics and Multimedia Communications Faculty of Electrical Engineering and Informatics Technical University Kosice Kosice Slovakia Perception and Robotics Group Department of computer science University of Maryland College ParkMD United States

ISBN: (纸本)9798350343533

The main goal of this paper was to find out how the gender and age group acoustical models behave on audio data that is in no way related to the data corpora used to train and evaluate the models. These models could be used for early predator detection in minors’ audio chats. The datasets used for training were mainly composed of English speakers. One part was made up of speakers whose native language is English and the rest use English as a secondary language. © 2023 IEEE.

关键词： Electronics industry

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Prediction of the Effect of Electrical Defibrillation Based on the Wavelet Transform with Pseudo-Differential Operators 5

Prediction of the Effect of Electrical Defibrillation Based ...

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5th International Conference on Electrical, Control and Instrumentation engineering, ICECIE 2023

作者： Yoshikawa, Yuta Okai, Takayuki Oya, Hidetoshi Hoshi, Yoshikatsu Nakano, Kazushi Tokyo City University Graduate School of Integrative Science and Engineering Tokyo Japan Tokyo City University Department of Computer Science Tokyo Japan The University of Electro-Communications Graduate School of Informatics and Engineering Tokyo Japan

ISBN: (纸本)9798350325041

This paper proposes a prediction system of the effect of electrical defibrillation based on the wavelet transform with pseudo-differential operators. To construct this system first, we analyze and extract features from pre-shock (before defibrillation) ECGs (ElectroCardioGrams) by using Gabor wavelet transform with pseudo-differential operators. Next, the effective feature parameters are selected based on the ?2 test. Finally, this system predicts two states such as "Effective"and "Ineffective"defibrillation by using the SVM (Support Vector Machine). In this way, we show the effectiveness of the proposed feature extraction method and prediction system. © 2023 IEEE.

关键词： Wavelet transforms

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Complex-Valued Neural Networks for Ultra-Reliable Massive MIMO

arXiv

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arXiv 2025年

作者： Valadares, Pedro Benevenuto Soares, Jonathan Aguiar Mayer, Kayol S. Arantes, Dalton Soares Department of Communications School of Electrical and Computer Engineering Universidade Estadual de Campinas – UNICAMP SP Campinas Brazil

In the evolving landscape of 5G and 6G networks, the demands extend beyond high data rates, ultra-low latency, and extensive coverage, increasingly emphasizing the need for reliability. This paper proposes an ultra-reliable multiple-input multiple-output (MIMO) scheme utilizing quasi-orthogonal space-time block coding (QOSTBC) combined with singular value decomposition (SVD) for channel state information (CSI) correction, significantly improving performance over QOSTBC, and traditional orthogonal STBC (OSTBC) when analyzing spectral efficiency. Although QOSTBC enhances spectral efficiency, it also increases computational complexity at the maximum likelihood (ML) decoder. To address this, a neural network-based decoding scheme using phase-transmittance radial basis function (PT-RBF) architecture is also introduced to manage QOSTBC’s complexity. Simulation results demonstrate improved system robustness and performance, making this approach a potential candidate for ultra-reliable communication in next-generation networks. © 2025, CC BY.

关键词： Space-time block coding (STBC)

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